…Streaming tool calls as typed dispatch events rather than buffering until turn completion enables immediate tool execution and improved harness compatibility, enhancing responsiveness in agent workflows. AI-generated content may summarize information…
…However, efficient single-image execution does not automatically translate to efficient scaling. As batch sizes grow, the bottleneck shifts from single-image kernel efficiency to workload orchestration, launch cadence, and GPU occupancy…
…This involves creating a seamless workflow that includes both the embedding step and the lookup step. In the embedding step, user queries are converted into embeddings using the same model that we…
…Fast, composable CUDA workflows in Python: Develop efficient and modular CUDA applications directly within Python. Custom data types and operators: Utilize custom data types and operators without the need for C++ bindings…
…RTM Geoscience Reverse time migration (RTM) modeling is a critical component in the seismic processing workflow of oil and gas exploration VERSION nvidia_2025_11 ACCELERATED FEATURES Batch algorithm SCALABILITY Multi-GPU…
…Developers are eager to deploy these models at the edge, enabling physical AI agents and autonomous robots to automate heavy-duty tasks. A key challenge is efficiently running multi-billion-parameter models…
…Update the predefined skills and OpenShell policies to fit specific workflows and environments. The example ships with five skills, picked up automatically by the gateway from the agents/hermes/skills/ folder. Modify…
…kubectl apply -f results/disagg/top1/k8s_deploy.yaml This workflow generalizes across models and hardware. The same interface applies whether deploying Qwen3-32B on eight NVIDIA H200 GPUs or DeepSeek-V3…
…cuTile BASIC lets developers write tile-based GPU kernels in BASIC with minimal syntax, handling parallelism and data partitioning automatically, as shown with simple vector addition and matrix multiplication examples. Running cuTile…
…KV cache growth and attention computation often dominate the end-to-end rollout time in RL workflows with long output sequence lengths (OSL) while also saturating memory bandwidth and slowing down token…